| Presentation | 2018-06-13 Use of Multiple Particle Swarm Optimizers with Sensors on Solving Tracking Problems Hiroshi Sho, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | For realizing better search performance and efficiency, in this paper, author proposes three methods which are multiple particle swarm optimizers with sensors (MPSOS), multiple particle swarm optimizers with inertia weight with sensors (MPSOIWS) and multiple canonical particle swarm optimizers with sensors (MCPSOS), respectively. Duo to utilizing the obtained search information, sensor information and selection of the best solution, this approach is possible to promptly track the moving target. In simulation experiments, with changing the parameters (number, sensing distance) of the sensors, we investigate the search feature of each method against a set of benchmark which are the constant speed I type, variable speed II type and III type of tracking problems. Based on analyzing results, we reveal the outstanding search performance and tracking ability of MPSOIWS and MCPSOS methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | swarm intelligence / particle swarm optimization / sensor / tracking ability / cumulative fitness |
| Paper # | NC2018-7 |
| Date of Issue | 2018-06-06 (NC) |
| Conference Information | |
| Committee | NC / IBISML / IPSJ-BIO / IPSJ-MPS |
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| Conference Date | 2018/6/13(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Chair | Yutaka Hirata(Chubu Univ.) / Hisashi Kashima(Kyoto Univ.) |
| Vice Chair | Hayaru Shouno(UEC) / Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Hayaru Shouno(Nagoya Univ.) / Masashi Sugiyama(NAIST) / Koji Tsuda(Nagoya Inst. of Tech.) / (AIST) |
| Assistant | Keiichiro Inagaki(Chubu Univ.) / Takashi Shinozaki(NICT) / Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Bioinformatics and Genomics / Special Interest Group on Mathematical Modeling and Problem Solving |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Use of Multiple Particle Swarm Optimizers with Sensors on Solving Tracking Problems |
| Sub Title (in English) | |
| Keyword(1) | swarm intelligence |
| Keyword(2) | particle swarm optimization |
| Keyword(3) | sensor |
| Keyword(4) | tracking ability |
| Keyword(5) | cumulative fitness |
| 1st Author's Name | Hiroshi Sho |
| 1st Author's Affiliation | Kyushu Institute of Technology(KIT) |
| Date | 2018-06-13 |
| Paper # | NC2018-7 |
| Volume (vol) | vol.118 |
| Number (no) | NC-80 |
| Page | pp.pp.9-14(NC), |
| #Pages | 6 |
| Date of Issue | 2018-06-06 (NC) |